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各种抗原的适度免疫响应是免疫系统维持生物体内环境稳定的关键,依据T细胞在不同的免疫阶段具备的促进和抑制作用,保证免疫系统获得较快的响应速度和足够的稳定性。通过免疫系统与控制系统的类比,借鉴免疫响应调节机理,提出了模糊免疫PID控制器,研究了模糊免疫PID控制器与传统PID的结合及其免疫参数在调节过程中的作用,并在惯性纯滞后环节进行了仿真,结果表明当工况变化及存在扰动时模糊免疫PID控制器也能获得满意的效果。
Moderate immune response of various antigens is the key to the immune system to maintain the stability of the environment in vivo. Based on the promotion and inhibition of T cells in different stages of immunity, the immune system can ensure faster response speed and sufficient stability. Based on the analogy between immune system and control system, the fuzzy immune PID controller is proposed by referring to the mechanism of immune response regulation. The combination of fuzzy immune PID controller and traditional PID and the role of immune parameters in the regulation process are studied. The simulation of hysteresis loop shows that the fuzzy immune PID controller can obtain satisfactory results when the working conditions change and the disturbance exists.